Facial Recognition and Its Use-Cases in Online Education

Abstract

Biometric is no longer limited to attendance and smartphone screen locks. Numerous sectors are implementing biometrics as a means of authentication. According to the chief executive of Biometric Institute, Isabelle Moeller, explains“Sectors including mobile, banking, and education are showing a real appetite for the use of Biometric authentication.” Face as Biometric Identity Like any other method, facial authentication serves as a biometric authentication mechanism. But the difference is that it is more reliable and easy. Digital cameras are available in almost every smartphone making face identification as easy as the blink of an eye. Unlike fingerprint and it serves more purposes than mere identification. Paid e-libraries can ensure the security of their content and avoid copyright infringements. Usually protected by simple password authentication, e-libraries have a high risk of identity fraud. The credentials of the user can be used by someone else to access content and use it for malicious purposes. Biometric as ID for Assessment and personalisation Facial recognition can help in identifying learner in many scenarios. One such scenario is taking online assessments. Online education faces a lot of criticism due to the high occurrence of cheating. A user could ask anyone to take a test on their behalf and get a good score. Would not that be unjustified for the students who work hard to gain marks? Facial recognition has the potential to make online assessments viable. Another use case is to enable serving personalised content to learners. With online facial recognition technology, capturing usage data for analytics and using it to make content more personalised becomes more possible. Learner Engagement using Facial Emotions Although, not currently in use but Emotion recognition is a possible use of online facial recognition in the future. Amazon has launched Recognition’ an AI that will detect the emotions of customers and analyse what should be done to make the customer more satisfied. In classroom-based scenarios, teachers make sure that students are showing interest in learning. How does a teacher make sure? Obviously, they predict by emotional expressions of students. Facial emotional recognition could take this to online learning. By using AI, the facial emotions of a learner could be used to analyse their engagement during learning. The integrity of online education is questioned a lot. Especially, with increased issues of cheating and plagiarism. In online learning, no suitable checks are there to detect whether the person who enrol in the course, takes exams or someone else on his behalf sits in exams. This malign the integrity of the education sector. Read More:https://shuftipro.com/biometric-consent-verification/